Quote
12.63
-0.53 (-3.99%)
We have scored 41 news catalysts on ACI (ACI) over the past 12 months. Coverage across the window leans negative (average ticker sentiment −0.13). Most of the impact sits in sector consumer and price momentum.
Market cap
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P/E
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EPS
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Beta
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52W range
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Day range
12.60–13.23
Open
13.13
Prev close
13.15
Volume
3.7M
Avg volume
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Dividend
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IPO
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No scored news tagged ACI or its network in the window yet.
Show more ACI articles →Analysts publish price targets on ACI, and they disagree. Where the share price actually sits among them shows which of their arguments the market is buying — and which it is ignoring.
11 analyst price targets from $10 to $18
as of 2026-09-22
The market is within 1% of the median target — broadly agreeing with the analysts.
The reconstruction
Daily OHLCV with SMA overlays and session pivots. Draw your levels and trendlines on it, or ask the AI analyst what the price is reacting to.
Suppliers, customers, partners and competitors, derived from what the news actually says about ACI — not a sector bucket. Click an edge to see the articles that established the link.
Suppliers, customers, partners and competitors of ACI, taken from what the news actually said about them rather than from a sector bucket. The count is how many articles established each link.
Latest scored catalyst for ACI: .
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The price sits within 1% of the median published model, fully accepting the mid-case where Albertsons is a company facing declining sales and shrinking margins, while explicitly rejecting both the bull case of a successful turnaround and the bear case of deeper distress.
What the disagreement turns on
Does consumer attention and unit volume trends show that the decline in identical sales is stabilizing near the new guidance, or is it deteriorating further? The wired data can measure unit volumes and consumer attention, but cannot measure in-store pricing or promotional activity, which limits the ability to fully separate traffic from basket size.
The price pays for
It declines to pay for
Written by a language model from the published models, the reported segments and a reverse-DCF — not a recommendation, and not a house view.
Claim by claim
